Top Artificial Intelligence Jobs in Pittsburgh, PA

Design and scale reliable spine-leaf data center networks supporting GPU clusters and AI workloads. Build Ethernet fabrics using EVPN/VXLAN and BGP, optimize traffic, support RoCE/RDMA, and manage backbone, WAN, DCI, and edge connectivity. Develop network automation and Infrastructure-as-Code solutions, improve observability and telemetry, troubleshoot distributed performance issues, and collaborate with compute, storage, platform, and operations teams. The role requires hands-on Cumulus NOS expertise and experience with large-scale, high-performance infrastructure.

Build and maintain a React/TypeScript operations portal and Supabase/PostgreSQL backend for autonomous aircraft medical logistics. Improve aircraft allocation, mission generation, telemetry ingestion, live dashboards, reliability, testing, logging, and observability. Integrate Python services with ArduPilot aircraft and simulations while collaborating with autonomy and simulation engineers to mature real-flight and digital-twin systems.

Own Feathery’s product positioning, messaging, go-to-market strategy, product launches, sales enablement, competitive intelligence, and customer research. Translate complex workflow automation capabilities into compelling narratives for enterprise buyers in insurance and wealth management. Collaborate with Product, Sales, Customer Success, and Leadership to develop marketing assets, inform roadmap priorities, strengthen differentiation, and accelerate adoption.

Build and scale Geolava’s spatial intelligence products across frontend and backend systems. Design APIs, data models, and LLM agent workflows; own features from design through deployment, monitoring, and iteration. Collaborate with product, design, research, and engineering teams to deliver reliable, polished solutions. The role requires strong product judgment, autonomy, production Python experience, full-stack TypeScript and React expertise, cloud infrastructure knowledge, and familiarity with agent loops, RAG, MCP, and geospatial technologies.

Handle product, billing, refund, bug, and feature-request inquiries for Meshy users. Resolve complex subscription disputes, improve billing policies and support procedures, coordinate with Product, Engineering, Finance, Growth, and Customer Success, and identify recurring issues. Create Help Center content and Intercom automations, analyze ticket trends, and own the Eastern Time support window in a globally distributed support team.

Build and maintain full-stack acquisition, signup, onboarding, activation, and early-engagement experiences. Ship and analyze A/B and multivariate experiments, instrument funnels and activation milestones, improve conversion-critical reliability, and develop frontend, backend, API, and analytics integrations. Partner with product, design, data, and marketing to turn growth hypotheses into durable product improvements. Use AI-assisted development tools while validating code quality and production readiness.

Own full enterprise sales cycle for Lorikeet's AI support automation: prospect, qualify, close, and expand mid-market and enterprise accounts. Partner with product and implementation teams for onboarding, establish sales processes and playbooks, provide market feedback to inform roadmap, and exceed revenue targets selling to technical and business stakeholders.

Manages end-to-end operations for global conferences, experiential programs, executive engagements, and internal events. Owns planning documents, staffing, vendors, budgets, procurement, logistics, risk management, registration systems, data workflows, and on-site execution. Partners cross-functionally with marketing, sales, finance, legal, procurement, and executive teams to deliver consistent, measurable events across the Americas, EMEA, and APAC. Requires frequent international travel and availability during event cycles.

Design and deliver modern data platforms, scalable and secure ingestion and transformation pipelines, durable data models, streaming systems, and reporting layers. Partner directly with clients and business stakeholders to translate requirements into architecture, explain tradeoffs, and own delivery outcomes. The role includes production implementation across cloud data platforms, orchestration, governance, real-time technologies, and analytics or AI data consumption.

Lead long-cycle, consultative enterprise sales for Manifest's immigration and global compliance solutions. Manage multi-stakeholder deals, run pilots and business cases, use MEDDPICC for forecasting, and represent the company at industry events.